A Fine Slice Of SQL Server
Jaime Garcia de Alba makes a connection:
In this guide I am going to show steps to connect Windows Azure VM to Azure SQL DB using Managed Identity covering create user in Azure SQL DB , connect using SSMS and connect using powershell
Click through to see how you can get this information from an Azure VM and connect to the SQL Server instance either via SSMS or Powershell.
Comments closedChris Webb talks Power BI anti-patterns:
Following on from my last post on the Query Memory Limit in Power BI, in this post I want to look at one of the most common DAX antipatterns and its effect on query memory usage: filtering on a whole table, rather than an individual column, in the filter parameters of the Calculate() function. A lot has already been written on this particular antipattern from the point of view of query performance – for example see here and here – but it’s only with the recent addition of the Execution Metrics Profiler/Log Analytics event that you can see how bad it is for memory usage too.
Read on for an example. In Chris’s case, there’s a 3x memory difference between doing the right thing and the wrong thing, so this can easily add up.
Comments closedSteven Sanderson goes for a walk on the stock exchange:
In the world of time series analysis, Random Walks, Brownian Motion, and Geometric Brownian Motion are fundamental concepts used in various fields, including finance, physics, and biology. Today, we’ll explore these concepts using functions from the
healthyR.tspackage.
Click through to learn about each of these concepts and some examples of how you can generate time series datasets following each of them.
Comments closedChris LaGreca spits out some dates:
I often work with time series data and find it useful to have a variety of ways to randomly generate dates. This particular example is great for evenly distributed date partitions. Running the script below with
the default argumentswill output a list of random dates, one for each month of the year.
It looks like this is generating based off of a uniform distribution, which probably makes the most sense for “give me a day of the month” data generation.
Comments closedJared Westover needs to delete some rows:
In this article, we’ll examine the importance of indexes in improving DELETE statements. Also, many developers assume that adding a foreign key creates an index, which means they’re typically missing. How can you identify which foreign keys are missing indexes? Don’t worry. A handy DMV helps find them. Starting today, you’ll have the skills to make your DELETE statements faster.
Click through for the full post.
Comments closedChad Callihan gets rid of dupes:
In a recent comment on a my post about combining CSV files using PowerShell, a reader named Oliver asked how duplicate values should be handled when combining multiple CSV records. I added a suggestion to that post but figured, “Why not elaborate more on a post of its own?”
Why not, indeed? Click through for the solution.
Comments closedJeff Iannucci gives us the details:
SQL Server database ownership may seem like an insignificant concern, but choosing the wrong owner for your database can be a main contributor to security disasters like ransomware. Let’s talk a bit about how to choose an owner that doesn’t create a huge security vulnerability for you and your SQL Server instance.
(Note: this isn’t the same as being in the db_owner role, although we will look at that later in this post.)
Click through for more information. This is one of the big reasons to avoid cross-database ownership chaining or setting TRUSTWORTHY on any database. Jeff has another way of resolving this particular problem that works, but the best solution is not to use either of those features.
Comments closedSagheer Ahmed sets up TLS encryption:
This technical guide provides detailed instructions on how to configure SSL/TLS encryption for SQL Server using a self-signed or CA-issued certificate. Secure your data transmissions and enhance your security posture with these essential steps.
Read on for the instructions.
Comments closedSteven Sanderson toes a bit of tag replacement:
Hello, R enthusiasts! Today, we’re jumping into a common text processing task: extracting strings between specific characters. This is a great skill for data cleaning and manipulation, especially when working with raw text data. I’m going to show you how to achieve this using base R, the
stringrpackage, and thestringipackage. Let’s go!
Read on for examples.
Comments closedMika Sutinen thinks about how things could go wrong:
Failure Mode and Effect Analysis(FMEA) is a process of building more resilient systems, by identifying failure points in them. While it’s highly recommended to perform FMEA during the architecture design phase, it can be done at any time. More importantly, it should be reviewed periodically, and especially when the system architecture changes.
While you can do Failure Mode and Effect Analysis for whole systems, in this post, I will share an example on how to get started with FMEA for a database environment.
Read on for a description of the concept and some tips on how to perform one.
Comments closed